Winter Term 2025/26

Mathematical Introduction to Data Science

Lecturer

Dr. Abhishek Chaudhary

Lectures

Tuesday, 12:00-14:00

Exercise classes

Friday, 14:00-15:00

Description#

A mathematically rigorous survey of core data-science techniques — from regression and k-nearest neighbors to high-dimensional phenomena, dimensionality reduction, and modern classifiers (Perceptron, SVMs, Kernel Methods, Neural Networks). Emphasis on both theoretical foundations and hands-on Python implementation with real datasets.

News#

• 07.10.2025: Lecture time on Tuesday, 12:00-14:00.
  Tutorial time on Friday, 14:00-15:00.

Important Links#

• Course on ALMA System

Lecture Slides#

• Lecture 1

Exercise Sheets#

• Exercise sheet 1
• Exercise sheet 2
• Exercise sheet 3
• Exercise sheet 4

Prerequisites#

1. Multivariable Calculus
2. Linear Algebra (eigenvalues and SVD)
3. Basic Probability Theory
4. Python programming (NumPy, scikit-learn)

References#

1. Sven A. Wegner, Mathematical Introduction to Data Science

Contact person: Dr. Abishek Chaudhary. If you have any questions, please come by my office or write me an email.